This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_thru2024_1e+06_2025-11-19 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.997
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.4150943

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.08 while 0.92 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	11	4	2	0.397	0.392	0.182	0.646	1.011	0.121	0.041	CSEO
p_pelagic	11	7	1	0.465	0.464	0.225	0.711	1.013	0.126	0.008	CSEO
p_pelagic	13	1	1	0.255	0.233	0.077	0.546	1.079	0.123	0.179	NSEI
p_pelagic	13	1	2	0.100	0.083	0.026	0.260	1.076	0.063	0.271	NSEI
p_yellow	13	1	1	0.461	0.400	0.141	0.982	1.015	0.239	0.255	NSEI
p_yellow	13	1	2	0.463	0.401	0.139	0.983	1.018	0.238	0.260	NSEI
p_pelagic	13	10	1	0.281	0.264	0.095	0.562	1.068	0.122	0.140	NSEI
p_pelagic	13	10	2	0.114	0.100	0.032	0.282	1.061	0.065	0.216	NSEI
p_yellow	13	10	1	0.463	0.404	0.127	0.981	1.014	0.240	0.246	NSEI
p_yellow	13	10	2	0.463	0.403	0.137	0.984	1.013	0.241	0.249	NSEI
p_pelagic	13	11	1	0.289	0.273	0.104	0.551	1.045	0.120	0.133	NSEI
p_pelagic	13	11	2	0.115	0.100	0.030	0.285	1.058	0.067	0.223	NSEI
p_yellow	13	11	1	0.457	0.390	0.135	0.982	1.011	0.243	0.276	NSEI
p_yellow	13	11	2	0.464	0.406	0.130	0.984	1.012	0.241	0.240	NSEI
p_pelagic	13	12	1	0.289	0.272	0.101	0.559	1.044	0.121	0.140	NSEI
p_pelagic	13	12	2	0.118	0.103	0.034	0.287	1.062	0.067	0.225	NSEI
p_yellow	13	12	1	0.459	0.399	0.133	0.984	1.014	0.243	0.247	NSEI
p_yellow	13	12	2	0.466	0.405	0.135	0.981	1.013	0.239	0.255	NSEI
p_pelagic	13	13	1	0.299	0.283	0.106	0.581	1.058	0.123	0.130	NSEI
p_pelagic	13	13	2	0.122	0.109	0.035	0.294	1.045	0.068	0.192	NSEI
p_yellow	13	13	1	0.460	0.403	0.136	0.981	1.014	0.239	0.238	NSEI
p_yellow	13	13	2	0.465	0.410	0.136	0.983	1.014	0.239	0.230	NSEI
p_pelagic	13	14	1	0.284	0.270	0.108	0.553	1.038	0.113	0.124	NSEI
p_pelagic	13	14	2	0.121	0.110	0.036	0.279	1.048	0.063	0.175	NSEI
p_yellow	13	14	1	0.462	0.403	0.136	0.980	1.010	0.242	0.244	NSEI
p_yellow	13	14	2	0.464	0.404	0.133	0.981	1.018	0.240	0.250	NSEI
p_pelagic	13	15	1	0.260	0.241	0.096	0.524	1.034	0.110	0.173	NSEI
p_pelagic	13	15	2	0.118	0.105	0.035	0.272	1.041	0.063	0.207	NSEI
p_yellow	13	15	1	0.455	0.392	0.128	0.981	1.015	0.241	0.261	NSEI
p_yellow	13	15	2	0.458	0.395	0.131	0.983	1.013	0.242	0.260	NSEI
p_pelagic	13	16	1	0.300	0.288	0.115	0.558	1.033	0.116	0.104	NSEI
p_pelagic	13	16	2	0.130	0.118	0.040	0.287	1.029	0.064	0.186	NSEI
p_yellow	13	16	1	0.461	0.400	0.129	0.980	1.011	0.242	0.252	NSEI
p_yellow	13	16	2	0.461	0.401	0.133	0.982	1.016	0.240	0.250	NSEI
p_pelagic	13	17	1	0.316	0.305	0.127	0.574	1.030	0.115	0.096	NSEI
p_pelagic	13	17	2	0.139	0.127	0.042	0.311	1.031	0.069	0.175	NSEI
p_yellow	13	17	1	0.459	0.399	0.135	0.985	1.013	0.241	0.249	NSEI
p_yellow	13	17	2	0.463	0.405	0.139	0.983	1.016	0.238	0.244	NSEI
p_pelagic	13	18	1	0.325	0.317	0.139	0.579	1.019	0.114	0.070	NSEI
p_pelagic	13	18	2	0.142	0.130	0.047	0.305	1.017	0.068	0.177	NSEI
p_yellow	13	18	1	0.465	0.411	0.137	0.985	1.012	0.238	0.227	NSEI
p_yellow	13	18	2	0.461	0.402	0.137	0.982	1.016	0.238	0.248	NSEI
p_pelagic	13	19	1	0.328	0.318	0.137	0.578	1.017	0.115	0.087	NSEI
p_pelagic	13	19	2	0.147	0.134	0.050	0.306	1.023	0.068	0.191	NSEI
p_yellow	13	19	1	0.460	0.399	0.134	0.982	1.016	0.239	0.255	NSEI
p_yellow	13	19	2	0.459	0.396	0.130	0.983	1.012	0.242	0.260	NSEI
p_pelagic	13	2	1	0.261	0.238	0.081	0.552	1.058	0.124	0.186	NSEI
p_pelagic	13	2	2	0.102	0.086	0.027	0.266	1.094	0.063	0.255	NSEI
p_yellow	13	2	1	0.463	0.403	0.132	0.983	1.014	0.240	0.250	NSEI
p_yellow	13	2	2	0.464	0.406	0.142	0.981	1.012	0.239	0.243	NSEI
p_pelagic	13	20	1	0.346	0.333	0.156	0.587	1.018	0.114	0.114	NSEI
p_pelagic	13	20	2	0.155	0.142	0.054	0.332	1.011	0.073	0.178	NSEI
p_yellow	13	20	1	0.461	0.401	0.130	0.981	1.013	0.239	0.251	NSEI
p_yellow	13	20	2	0.466	0.408	0.140	0.983	1.012	0.238	0.244	NSEI
p_pelagic	13	21	1	0.365	0.355	0.170	0.610	1.012	0.117	0.085	NSEI
p_yellow	13	21	1	0.462	0.403	0.141	0.984	1.014	0.238	0.248	NSEI
p_yellow	13	21	2	0.463	0.406	0.132	0.982	1.013	0.238	0.239	NSEI
p_yellow	13	22	1	0.459	0.398	0.137	0.980	1.015	0.238	0.257	NSEI
p_yellow	13	22	2	0.462	0.402	0.138	0.983	1.015	0.236	0.254	NSEI
p_yellow	13	23	1	0.424	0.361	0.105	0.975	1.015	0.244	0.258	NSEI
p_yellow	13	23	2	0.508	0.467	0.162	0.986	1.017	0.230	0.178	NSEI
p_yellow	13	24	1	0.429	0.365	0.105	0.979	1.011	0.243	0.263	NSEI
p_yellow	13	25	1	0.436	0.378	0.110	0.978	1.017	0.244	0.238	NSEI
p_yellow	13	25	2	0.508	0.462	0.165	0.985	1.013	0.231	0.199	NSEI
p_yellow	13	26	1	0.422	0.362	0.108	0.977	1.013	0.238	0.252	NSEI
p_yellow	13	26	2	0.501	0.455	0.155	0.985	1.014	0.231	0.199	NSEI
p_yellow	13	27	1	0.409	0.346	0.100	0.977	1.013	0.238	0.265	NSEI
p_yellow	13	27	2	0.499	0.456	0.150	0.984	1.017	0.230	0.187	NSEI
p_yellow	13	28	1	0.424	0.368	0.113	0.970	1.013	0.230	0.243	NSEI
p_yellow	13	28	2	0.499	0.461	0.160	0.982	1.017	0.222	0.171	NSEI
p_yellow	13	29	1	0.390	0.337	0.110	0.934	1.018	0.216	0.245	NSEI
p_yellow	13	29	2	0.485	0.454	0.168	0.966	1.013	0.210	0.148	NSEI
p_pelagic	13	3	1	0.259	0.236	0.086	0.558	1.069	0.123	0.187	NSEI
p_pelagic	13	3	2	0.103	0.087	0.026	0.269	1.062	0.064	0.250	NSEI
p_yellow	13	3	1	0.460	0.399	0.139	0.980	1.013	0.236	0.258	NSEI
p_yellow	13	3	2	0.465	0.405	0.135	0.981	1.013	0.239	0.251	NSEI
p_pelagic	13	4	1	0.262	0.241	0.086	0.557	1.067	0.122	0.172	NSEI
p_pelagic	13	4	2	0.103	0.088	0.027	0.263	1.086	0.062	0.242	NSEI
p_yellow	13	4	1	0.462	0.401	0.131	0.979	1.016	0.238	0.257	NSEI
p_yellow	13	4	2	0.460	0.397	0.128	0.982	1.011	0.243	0.259	NSEI
p_pelagic	13	5	1	0.265	0.244	0.085	0.546	1.067	0.123	0.171	NSEI
p_pelagic	13	5	2	0.106	0.091	0.028	0.273	1.067	0.063	0.237	NSEI
p_yellow	13	5	1	0.464	0.403	0.139	0.982	1.014	0.238	0.257	NSEI
p_yellow	13	5	2	0.466	0.406	0.137	0.984	1.013	0.239	0.251	NSEI
p_pelagic	13	6	1	0.262	0.242	0.088	0.534	1.051	0.119	0.169	NSEI
p_pelagic	13	6	2	0.106	0.092	0.029	0.276	1.072	0.064	0.218	NSEI
p_yellow	13	6	1	0.462	0.406	0.132	0.981	1.013	0.239	0.235	NSEI
p_yellow	13	6	2	0.467	0.401	0.133	0.982	1.017	0.239	0.276	NSEI
p_pelagic	13	7	1	0.271	0.249	0.094	0.552	1.065	0.124	0.178	NSEI
p_pelagic	13	7	2	0.106	0.091	0.027	0.272	1.059	0.065	0.232	NSEI
p_yellow	13	7	1	0.458	0.401	0.129	0.981	1.013	0.241	0.237	NSEI
p_yellow	13	7	2	0.467	0.405	0.136	0.981	1.020	0.240	0.258	NSEI
p_pelagic	13	8	1	0.275	0.256	0.093	0.563	1.052	0.123	0.155	NSEI
p_pelagic	13	8	2	0.111	0.096	0.028	0.280	1.068	0.065	0.229	NSEI
p_yellow	13	8	1	0.463	0.403	0.131	0.980	1.013	0.240	0.250	NSEI
p_yellow	13	8	2	0.464	0.404	0.137	0.980	1.013	0.239	0.251	NSEI
p_pelagic	13	9	1	0.277	0.261	0.092	0.556	1.042	0.122	0.132	NSEI
p_pelagic	13	9	2	0.112	0.097	0.032	0.280	1.065	0.065	0.229	NSEI
p_yellow	13	9	1	0.462	0.402	0.134	0.983	1.012	0.239	0.251	NSEI
p_yellow	13	9	2	0.464	0.400	0.138	0.982	1.014	0.240	0.267	NSEI
p_yellow	14	11	1	0.578	0.564	0.255	0.984	1.014	0.185	0.076	NSEO
p_yellow	14	13	1	0.580	0.564	0.259	0.982	1.014	0.184	0.087	NSEO
p_yellow	14	13	2	0.620	0.613	0.299	0.988	1.014	0.177	0.040	NSEO
p_yellow	14	15	1	0.577	0.566	0.256	0.984	1.010	0.183	0.060	NSEO
p_yellow	14	15	2	0.620	0.611	0.291	0.988	1.010	0.177	0.051	NSEO
p_yellow	14	16	2	0.617	0.606	0.286	0.987	1.011	0.176	0.062	NSEO
p_yellow	14	19	1	0.583	0.568	0.261	0.984	1.010	0.184	0.082	NSEO
p_yellow	14	2	2	0.621	0.611	0.303	0.988	1.011	0.176	0.057	NSEO
p_yellow	14	20	1	0.582	0.567	0.268	0.985	1.011	0.182	0.082	NSEO
p_yellow	14	20	2	0.617	0.608	0.302	0.988	1.012	0.177	0.051	NSEO
p_yellow	14	21	2	0.614	0.606	0.291	0.985	1.011	0.177	0.045	NSEO
p_yellow	14	22	2	0.616	0.608	0.293	0.986	1.010	0.179	0.045	NSEO
p_yellow	14	23	2	0.612	0.604	0.282	0.988	1.014	0.182	0.044	NSEO
p_yellow	14	24	2	0.614	0.604	0.278	0.989	1.011	0.183	0.055	NSEO
p_yellow	14	25	2	0.616	0.610	0.278	0.988	1.011	0.179	0.033	NSEO
p_yellow	14	26	1	0.585	0.574	0.257	0.984	1.011	0.183	0.060	NSEO
p_yellow	14	3	2	0.616	0.605	0.292	0.988	1.011	0.180	0.061	NSEO
p_yellow	14	4	2	0.618	0.610	0.292	0.987	1.010	0.178	0.045	NSEO
p_yellow	14	5	2	0.617	0.614	0.284	0.988	1.010	0.179	0.017	NSEO
p_yellow	14	6	1	0.579	0.566	0.258	0.985	1.011	0.185	0.070	NSEO
p_black	14	7	1	0.918	0.945	0.690	0.993	1.014	0.084	-0.322	NSEO
p_yellow	14	8	1	0.577	0.562	0.252	0.983	1.010	0.186	0.081	NSEO
p_yellow	14	9	1	0.577	0.563	0.257	0.985	1.012	0.184	0.076	NSEO
p_yellow	14	9	2	0.618	0.611	0.290	0.987	1.010	0.179	0.039	NSEO
p_pelagic	16	1	1	0.393	0.386	0.143	0.677	1.014	0.142	0.049	SSEO
p_pelagic	16	10	1	0.395	0.387	0.158	0.671	1.013	0.137	0.058	SSEO
p_pelagic	16	10	2	0.375	0.368	0.141	0.646	1.018	0.134	0.052	SSEO
p_slope	16	10	2	0.076	0.057	0.012	0.261	1.013	0.065	0.290	SSEO
p_pelagic	16	11	1	0.395	0.391	0.156	0.675	1.011	0.136	0.029	SSEO
p_pelagic	16	11	2	0.375	0.368	0.144	0.641	1.010	0.132	0.053	SSEO
p_pelagic	16	15	2	0.379	0.372	0.148	0.652	1.010	0.131	0.054	SSEO
p_slope	16	17	2	0.078	0.059	0.010	0.265	1.017	0.067	0.283	SSEO
p_pelagic	16	2	2	0.371	0.366	0.132	0.654	1.012	0.137	0.036	SSEO
p_pelagic	16	3	1	0.391	0.383	0.143	0.668	1.016	0.139	0.057	SSEO
p_pelagic	16	3	2	0.371	0.366	0.135	0.649	1.013	0.136	0.037	SSEO
p_dsr	16	30	1	0.419	0.419	0.393	0.447	1.013	0.014	0.000	SSEO
p_dsr	16	31	1	0.401	0.400	0.374	0.432	1.098	0.015	0.067	SSEO
p_slope	16	36	1	0.061	0.061	0.041	0.079	1.026	0.009	0.000	SSEO
p_slope	16	37	1	0.065	0.066	0.047	0.082	1.011	0.009	-0.114	SSEO
p_pelagic	16	4	1	0.394	0.388	0.145	0.676	1.012	0.141	0.042	SSEO
p_pelagic	16	4	2	0.370	0.364	0.130	0.647	1.011	0.138	0.044	SSEO
p_pelagic	16	42	1	0.833	0.833	0.826	0.840	1.125	0.003	0.000	SSEO
p_yellow	16	42	1	0.406	0.407	0.385	0.429	1.044	0.011	-0.090	SSEO
p_dsr	16	42	1	0.451	0.442	0.404	0.509	3.457	0.030	0.298	SSEO
p_slope	16	42	1	0.167	0.180	0.110	0.209	4.883	0.032	-0.409	SSEO
p_pelagic	16	5	1	0.394	0.389	0.154	0.671	1.014	0.136	0.037	SSEO
p_pelagic	16	5	2	0.370	0.363	0.131	0.647	1.016	0.137	0.051	SSEO
p_pelagic	16	6	1	0.394	0.391	0.141	0.677	1.012	0.141	0.021	SSEO
p_pelagic	16	6	2	0.372	0.363	0.130	0.650	1.013	0.137	0.066	SSEO
p_pelagic	16	7	1	0.392	0.389	0.147	0.665	1.010	0.137	0.022	SSEO
p_pelagic	16	9	2	0.374	0.362	0.145	0.650	1.013	0.135	0.089	SSEO
p_pelagic	3	4	2	0.187	0.175	0.058	0.389	1.014	0.085	0.140	PWSI
p_pelagic	3	6	1	0.549	0.555	0.268	0.789	1.011	0.135	-0.045	PWSI
p_pelagic	3	7	2	0.188	0.176	0.062	0.388	1.011	0.086	0.140	PWSI
p_black	8	40	1	0.486	0.416	0.343	0.964	1.016	0.190	0.369	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta1_pH	11	3	82,647,383.439	6.859	0.216	694,725.175	1.188	2,584,012,155.858	0.032	CSEO
beta1_pH	12	3	605,770,439.507	6.632	0.227	2,316,460.836	1.276	24,991,659,588.711	0.024	EWYKT
beta1_pH	13	3	10,277,915,288.490	5.762	0.220	2,463,886.264	1.239	409,336,022,438.558	0.025	NSEI
beta0_pelagic	13		-1.285	-1.369	-1.965	-0.286	1.157	0.477	0.176	NSEI
beta1_pH	14	3	790,930,903.417	5.912	0.222	1,977,960.149	1.138	25,176,501,274.686	0.031	NSEO
beta1_pH	15	3	15,108,533,445.479	7.208	0.222	2,831,806.250	1.252	470,457,299,250.957	0.032	SSEI
beta1_pH	16	3	809,111,305,285.909	6.442	0.225	1,917,248.209	1.291	44,268,526,024,671.227	0.018	SSEO
beta3_pH	16	4	41.597	41.599	40.892	42.486	1.127	0.421	-0.005	SSEO
beta0_dsr	16		0.161	0.161	0.129	0.193	1.150	0.016	0.000	SSEO
tau_beta1_pH	3	4	0.758	0.087	0.011	4.752	1.250	3.293	0.204	PWSI
beta2_pH	9	3	0.190	0.160	0.082	0.458	1.149	0.224	0.134	eastside

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	278.00	214.00	825.00	330.00
Prop. of total	0.57	0.43	0.71	0.29
Prop. median less than 1	0.36	0.26	0.35	0.42
Prop. median less than 10	0.46	0.60	0.56	0.76
Prop. median less than 50	0.52	0.79	0.70	0.84
Median of the median values	33.89	5.04	4.66	1.77
Mean of the median values	684.43	250.44	273.32	82.56
Mean skew of posteriors	0.24	0.28	0.27	0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	5.00	8.00	39.00	34.00
Prop. of total	0.38	0.62	0.53	0.47
Prop. median less than 1	0.80	0.50	0.90	0.56
Prop. median less than 10	1.00	0.88	0.95	0.94
Prop. median less than 50	1.00	1.00	0.95	0.94
Median of the median values	0.00	1.96	0.01	0.48
Mean of the median values	1.50	3.88	39.18	20.57
Mean skew of posteriors	0.17	0.21	0.15	0.17

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_dsr	1
beta0_pelagic	1
beta1_pH	6
beta2_pH	1
beta3_pH	1
eps_dsr	1
eps_pH	6
eps_sl	1
H_ayg	1
H_ayu	1
Hb_ayg	1
Hb_ayu	1
Hd_ay	1
Hd_ayg	2
Ho_ayu	5
Hp_ayg	1
Hp_ayu	1
Hs_ay	2
Hs_ayg	2
Hs_ayu	7
Hy_ay	1
Hy_ayg	2
Hy_ayu	1
p_black	1
p_dsr	1
p_pelagic	1
p_slope	2
pH	14
R_ay	1
R_ayg	1
R_ayu	2
Rb_ay	1
Rb_ayg	1
Rb_ayu	1
Rd_ay	6
Rd_ayg	5
Rd_ayu	4
re_dsr	2
re_pH	9
re_slope	2
Ro_ay	13
Ro_ayg	6
Ro_ayu	32
Rp_ay	1
Rp_ayg	1
Rp_ayu	1
Rs_ay	7
Rs_ayg	13
Rs_ayu	22
Ry_ay	5
Ry_ayg	3
Ry_ayu	15
tau_beta1_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.016	0.071	-0.148	-0.019	0.134
mu_bc_H[2]	0.075	0.054	-0.024	0.072	0.187
mu_bc_H[3]	-0.273	0.067	-0.401	-0.274	-0.142
mu_bc_H[4]	-0.918	0.180	-1.272	-0.916	-0.567
mu_bc_H[5]	1.337	1.169	0.097	1.061	4.347
mu_bc_H[6]	-2.364	0.316	-2.957	-2.376	-1.724
mu_bc_H[7]	-0.452	0.102	-0.661	-0.448	-0.258
mu_bc_H[8]	0.265	0.351	-0.306	0.231	1.075
mu_bc_H[9]	-0.245	0.125	-0.481	-0.248	0.010
mu_bc_H[10]	0.060	0.064	-0.055	0.058	0.191
mu_bc_H[11]	-0.125	0.037	-0.199	-0.125	-0.053
mu_bc_H[12]	-0.249	0.106	-0.483	-0.241	-0.051
mu_bc_H[13]	-0.163	0.072	-0.305	-0.163	-0.020
mu_bc_H[14]	-0.306	0.092	-0.503	-0.302	-0.137
mu_bc_H[15]	-0.339	0.047	-0.428	-0.341	-0.243
mu_bc_H[16]	-0.156	0.368	-0.784	-0.181	0.655
mu_bc_R[1]	1.042	0.121	0.803	1.044	1.281
mu_bc_R[2]	1.015	0.076	0.857	1.017	1.157
mu_bc_R[3]	0.219	0.091	0.039	0.221	0.393
mu_bc_R[4]	0.666	0.197	0.267	0.674	1.030
mu_bc_R[5]	1.673	0.368	0.938	1.672	2.384
mu_bc_R[6]	-1.410	0.345	-2.092	-1.408	-0.754
mu_bc_R[7]	0.515	0.169	0.176	0.525	0.827
mu_bc_R[8]	0.643	0.147	0.357	0.646	0.932
mu_bc_R[9]	0.379	0.174	0.011	0.385	0.701
mu_bc_R[10]	0.895	0.104	0.687	0.895	1.096
mu_bc_R[11]	1.108	0.076	0.957	1.107	1.259
mu_bc_R[12]	0.872	0.165	0.546	0.874	1.189
mu_bc_R[13]	1.041	0.091	0.858	1.041	1.218
mu_bc_R[14]	0.860	0.122	0.615	0.860	1.099
mu_bc_R[15]	0.796	0.097	0.601	0.796	0.984
mu_bc_R[16]	1.347	0.113	1.125	1.349	1.564
tau_pH[1]	2.448	0.183	2.108	2.443	2.827
tau_pH[2]	1.571	0.147	1.295	1.568	1.875
tau_pH[3]	2.273	0.300	1.739	2.256	2.922
tau_pH[4]	0.991	0.137	0.751	0.982	1.282
tau_pH[5]	0.425	0.075	0.301	0.419	0.592
beta0_pH[1,1]	0.548	0.176	0.181	0.558	0.865
beta0_pH[2,1]	1.403	0.183	0.988	1.416	1.717
beta0_pH[3,1]	1.390	0.232	0.821	1.420	1.760
beta0_pH[4,1]	1.541	0.280	0.841	1.578	1.962
beta0_pH[5,1]	-0.814	0.398	-1.810	-0.771	-0.152
beta0_pH[6,1]	-0.607	0.522	-1.995	-0.456	0.038
beta0_pH[7,1]	0.752	0.011	0.732	0.752	0.773
beta0_pH[8,1]	-0.699	0.411	-1.809	-0.643	-0.063
beta0_pH[9,1]	-0.343	0.297	-0.990	-0.313	0.190
beta0_pH[10,1]	0.262	0.206	-0.179	0.276	0.631
beta0_pH[11,1]	0.076	0.274	-0.488	0.075	0.614
beta0_pH[12,1]	0.614	0.195	0.225	0.618	0.991
beta0_pH[13,1]	-0.651	0.154	-0.970	-0.645	-0.367
beta0_pH[14,1]	0.010	0.178	-0.348	0.011	0.350
beta0_pH[15,1]	0.050	0.203	-0.443	0.069	0.372
beta0_pH[16,1]	-0.843	0.205	-1.262	-0.836	-0.458
beta0_pH[1,2]	2.566	0.084	2.403	2.565	2.732
beta0_pH[2,2]	3.079	0.022	3.035	3.079	3.123
beta0_pH[3,2]	3.626	0.041	3.548	3.625	3.704
beta0_pH[4,2]	2.936	0.019	2.899	2.936	2.974
beta0_pH[5,2]	4.603	1.531	2.762	4.261	8.611
beta0_pH[6,2]	3.331	0.161	3.027	3.330	3.657
beta0_pH[7,2]	2.026	0.049	1.930	2.025	2.120
beta0_pH[8,2]	2.822	0.065	2.696	2.821	2.950
beta0_pH[9,2]	3.962	0.210	3.563	3.959	4.387
beta0_pH[10,2]	4.002	0.129	3.757	4.002	4.266
beta0_pH[11,2]	1.885	0.009	1.868	1.885	1.903
beta0_pH[12,2]	1.801	0.069	1.669	1.801	1.937
beta0_pH[13,2]	2.497	0.027	2.444	2.497	2.548
beta0_pH[14,2]	1.803	0.024	1.758	1.804	1.850
beta0_pH[15,2]	2.545	0.017	2.512	2.545	2.577
beta0_pH[16,2]	2.765	0.025	2.716	2.765	2.814
beta0_pH[1,3]	0.698	0.581	-0.869	0.854	1.378
beta0_pH[2,3]	2.126	0.017	2.092	2.126	2.160
beta0_pH[3,3]	2.689	0.024	2.642	2.689	2.738
beta0_pH[4,3]	2.981	0.035	2.913	2.980	3.047
beta0_pH[5,3]	3.769	2.556	0.977	3.110	10.749
beta0_pH[6,3]	1.258	0.325	0.701	1.238	1.953
beta0_pH[7,3]	0.857	0.050	0.759	0.858	0.958
beta0_pH[8,3]	0.285	0.124	0.028	0.293	0.509
beta0_pH[9,3]	-2.816	1.047	-5.002	-2.726	-0.975
beta0_pH[10,3]	-0.885	0.908	-2.981	-0.758	0.568
beta0_pH[11,3]	0.199	11.452	-22.417	0.169	22.912
beta0_pH[12,3]	0.171	11.285	-21.860	0.145	22.611
beta0_pH[13,3]	0.121	11.558	-21.786	0.088	23.416
beta0_pH[14,3]	0.131	11.526	-22.439	0.143	22.457
beta0_pH[15,3]	-0.020	11.428	-22.742	0.108	21.327
beta0_pH[16,3]	0.093	11.312	-21.325	0.077	21.749
beta0_pH[11,4]	1.104	0.464	0.200	1.117	1.972
beta0_pH[12,4]	0.953	0.735	-0.649	1.005	2.308
beta0_pH[13,4]	1.051	0.565	-0.315	1.147	1.761
beta0_pH[14,4]	0.507	0.580	-0.764	0.559	1.475
beta0_pH[15,4]	0.993	0.461	-0.009	1.062	1.682
beta0_pH[16,4]	0.899	0.605	-0.416	0.940	1.974
beta0_pH[11,5]	2.973	0.147	2.698	2.970	3.270
beta0_pH[12,5]	-1.026	0.456	-1.912	-1.017	-0.135
beta0_pH[13,5]	4.914	0.412	4.138	4.897	5.733
beta0_pH[14,5]	3.904	0.358	3.239	3.891	4.627
beta0_pH[15,5]	2.292	0.124	2.057	2.289	2.534
beta0_pH[16,5]	0.250	0.063	0.160	0.238	0.400
beta1_pH[1,1]	2.591	0.490	1.816	2.529	3.810
beta1_pH[2,1]	1.676	0.438	1.062	1.608	2.888
beta1_pH[3,1]	1.824	0.470	1.113	1.756	3.115
beta1_pH[4,1]	1.998	0.535	1.282	1.880	3.544
beta1_pH[5,1]	2.347	0.531	1.519	2.276	3.617
beta1_pH[6,1]	2.296	0.915	1.097	2.040	4.572
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.645	1.039	1.269	2.340	4.815
beta1_pH[9,1]	2.142	0.684	1.251	2.003	4.176
beta1_pH[10,1]	2.176	0.409	1.530	2.130	3.095
beta1_pH[11,1]	3.315	0.459	2.476	3.280	4.304
beta1_pH[12,1]	2.919	0.287	2.362	2.915	3.492
beta1_pH[13,1]	3.444	0.245	2.994	3.432	3.946
beta1_pH[14,1]	2.853	0.329	2.246	2.847	3.555
beta1_pH[15,1]	2.408	0.291	1.905	2.384	3.102
beta1_pH[16,1]	3.989	0.288	3.433	3.984	4.570
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.421	1.667	1.217	2.972	7.420
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.973	2.350	2.180	4.204	10.991
beta1_pH[9,3]	8.336	2.546	4.135	7.992	13.841
beta1_pH[10,3]	7.198	2.746	3.248	6.670	13.530
beta1_pH[11,3]	82647383.439	2584012155.858	0.216	6.859	694725.175
beta1_pH[12,3]	605770439.507	24991659588.711	0.227	6.632	2316460.836
beta1_pH[13,3]	10277915288.490	409336022438.558	0.220	5.762	2463886.264
beta1_pH[14,3]	790930903.417	25176501274.686	0.222	5.912	1977960.149
beta1_pH[15,3]	15108533445.479	470457299250.957	0.222	7.208	2831806.250
beta1_pH[16,3]	809111305285.909	44268526024671.227	0.225	6.442	1917248.209
beta1_pH[11,4]	1.665	0.550	0.596	1.663	2.705
beta1_pH[12,4]	3.191	0.745	1.802	3.143	4.834
beta1_pH[13,4]	0.910	0.595	0.130	0.828	2.297
beta1_pH[14,4]	1.836	0.669	0.646	1.792	3.256
beta1_pH[15,4]	0.954	0.532	0.137	0.900	2.116
beta1_pH[16,4]	3.546	0.689	2.308	3.513	5.042
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.207	0.850	0.323	0.897	3.343
beta2_pH[2,1]	1.540	0.951	0.188	1.345	3.402
beta2_pH[3,1]	1.347	0.842	0.188	1.187	2.925
beta2_pH[4,1]	1.051	0.791	0.169	0.769	2.881
beta2_pH[5,1]	2.135	1.800	0.255	1.654	7.177
beta2_pH[6,1]	0.944	1.482	0.104	0.371	5.684
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.717	1.185	0.108	0.313	4.450
beta2_pH[9,1]	0.972	1.356	0.143	0.494	5.479
beta2_pH[10,1]	1.251	1.304	0.254	0.812	5.117
beta2_pH[11,1]	0.429	0.240	0.203	0.367	1.028
beta2_pH[12,1]	1.537	0.786	0.615	1.296	3.586
beta2_pH[13,1]	1.016	0.417	0.533	0.912	2.146
beta2_pH[14,1]	1.123	0.674	0.421	0.910	3.266
beta2_pH[15,1]	1.034	0.617	0.337	0.863	2.957
beta2_pH[16,1]	1.063	0.376	0.634	0.983	1.952
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.381	4.195	0.114	0.517	15.486
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.226	1.797	0.584	1.481	7.092
beta2_pH[9,3]	0.190	0.224	0.082	0.160	0.458
beta2_pH[10,3]	0.302	0.358	0.098	0.231	0.860
beta2_pH[11,3]	-8.416	6.052	-22.751	-7.268	-0.361
beta2_pH[12,3]	-8.320	5.983	-22.509	-7.167	-0.387
beta2_pH[13,3]	-8.238	6.015	-23.060	-6.960	-0.379
beta2_pH[14,3]	-8.300	6.057	-23.037	-7.043	-0.445
beta2_pH[15,3]	-8.258	5.985	-22.715	-6.984	-0.360
beta2_pH[16,3]	-8.271	6.059	-22.872	-7.028	-0.366
beta2_pH[11,4]	-7.325	4.922	-18.726	-6.270	-0.975
beta2_pH[12,4]	-7.608	4.879	-18.840	-6.613	-1.210
beta2_pH[13,4]	-7.351	4.895	-18.960	-6.262	-0.997
beta2_pH[14,4]	-7.288	4.890	-18.740	-6.112	-1.134
beta2_pH[15,4]	-7.375	4.835	-18.653	-6.312	-1.025
beta2_pH[16,4]	-7.493	4.741	-18.623	-6.330	-1.492
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.968	1.170	32.859	34.955	37.465
beta3_pH[2,1]	32.957	1.554	30.448	32.786	36.768
beta3_pH[3,1]	33.052	1.542	30.185	32.978	36.858
beta3_pH[4,1]	32.816	2.058	29.480	32.644	37.828
beta3_pH[5,1]	27.638	1.291	25.958	27.479	30.657
beta3_pH[6,1]	33.160	3.434	26.030	33.071	41.094
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.525	3.952	28.812	35.581	42.722
beta3_pH[9,1]	32.459	3.160	27.678	31.899	40.561
beta3_pH[10,1]	32.583	1.355	30.164	32.498	35.397
beta3_pH[11,1]	31.264	1.109	29.311	31.210	33.534
beta3_pH[12,1]	30.763	0.480	29.770	30.795	31.637
beta3_pH[13,1]	31.414	0.547	30.397	31.398	32.588
beta3_pH[14,1]	32.523	0.770	31.248	32.463	34.160
beta3_pH[15,1]	30.953	0.759	29.372	30.970	32.423
beta3_pH[16,1]	30.147	0.356	29.434	30.148	30.826
beta3_pH[1,2]	34.485	5.403	25.545	34.299	43.371
beta3_pH[2,2]	34.471	5.489	25.438	34.450	43.534
beta3_pH[3,2]	30.332	7.227	18.606	29.980	42.343
beta3_pH[4,2]	30.480	7.103	18.683	30.478	42.397
beta3_pH[5,2]	30.454	7.235	18.692	30.296	42.381
beta3_pH[6,2]	30.286	7.178	18.556	30.391	42.300
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.767	2.580	33.478	40.165	43.704
beta3_pH[2,3]	34.590	5.457	25.497	34.666	43.536
beta3_pH[3,3]	30.342	7.185	18.719	30.333	42.369
beta3_pH[4,3]	30.434	7.208	18.572	30.474	42.391
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.178	0.842	40.971	41.918	43.854
beta3_pH[9,3]	35.943	1.690	34.522	35.306	40.930
beta3_pH[10,3]	37.788	2.468	34.615	37.174	43.333
beta3_pH[11,3]	38.440	2.598	34.205	38.467	42.768
beta3_pH[12,3]	38.469	2.585	34.261	38.452	42.777
beta3_pH[13,3]	38.506	2.619	34.298	38.500	42.782
beta3_pH[14,3]	38.493	2.575	34.218	38.512	42.766
beta3_pH[15,3]	38.459	2.579	34.255	38.402	42.766
beta3_pH[16,3]	38.499	2.577	34.169	38.523	42.757
beta3_pH[11,4]	40.358	1.095	38.078	40.318	42.690
beta3_pH[12,4]	41.877	0.827	40.224	42.186	42.908
beta3_pH[13,4]	41.563	1.463	38.029	41.737	43.843
beta3_pH[14,4]	40.387	0.846	38.583	40.427	41.881
beta3_pH[15,4]	40.988	1.381	37.752	40.977	43.611
beta3_pH[16,4]	41.597	0.421	40.892	41.599	42.486
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.262	0.021	0.223	0.262	0.302
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.158	0.173	0.186
beta4_pH[4,1]	0.294	0.011	0.271	0.294	0.317
beta4_pH[5,1]	0.415	0.253	0.082	0.376	0.974
beta4_pH[6,1]	0.767	0.375	0.322	0.728	1.448
beta4_pH[7,1]	0.849	0.346	0.353	0.795	1.647
beta4_pH[8,1]	0.155	0.069	0.042	0.148	0.303
beta4_pH[9,1]	0.214	0.088	0.059	0.210	0.402
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.424	0.446	0.470
beta4_pH[12,1]	0.642	0.022	0.600	0.641	0.686
beta4_pH[13,1]	0.631	0.013	0.606	0.631	0.658
beta4_pH[14,1]	0.669	0.031	0.611	0.669	0.735
beta4_pH[15,1]	0.797	0.021	0.757	0.797	0.840
beta4_pH[16,1]	1.223	0.041	1.147	1.222	1.304
beta4_pH[1,2]	0.294	0.096	0.120	0.291	0.499
beta4_pH[2,2]	0.514	0.023	0.471	0.515	0.558
beta4_pH[3,2]	0.446	0.012	0.423	0.445	0.469
beta4_pH[4,2]	0.654	0.037	0.581	0.653	0.728
beta4_pH[5,2]	0.723	0.838	0.113	0.533	2.595
beta4_pH[6,2]	0.903	0.764	0.206	0.732	2.664
beta4_pH[7,2]	0.885	0.421	0.357	0.813	1.886
beta4_pH[8,2]	0.853	0.207	0.474	0.850	1.281
beta4_pH[9,2]	1.152	1.146	0.295	0.870	3.852
beta4_pH[10,2]	0.457	0.052	0.358	0.456	0.563
beta4_pH[11,2]	1.269	0.050	1.172	1.269	1.371
beta4_pH[12,2]	0.604	0.111	0.401	0.601	0.832
beta4_pH[13,2]	0.946	0.045	0.861	0.945	1.037
beta4_pH[14,2]	0.935	0.062	0.820	0.932	1.060
beta4_pH[15,2]	1.012	0.025	0.965	1.011	1.063
beta4_pH[16,2]	1.409	0.076	1.262	1.410	1.560
beta4_pH[1,3]	0.240	0.076	0.102	0.236	0.397
beta4_pH[2,3]	0.050	0.017	0.020	0.049	0.085
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.072
beta4_pH[4,3]	0.167	0.032	0.104	0.167	0.229
beta4_pH[5,3]	0.779	1.006	0.111	0.565	2.837
beta4_pH[6,3]	0.894	0.724	0.198	0.741	2.702
beta4_pH[7,3]	0.887	0.450	0.355	0.815	1.814
beta4_pH[8,3]	0.393	0.188	0.106	0.368	0.833
beta4_pH[9,3]	0.924	0.866	0.162	0.706	2.776
beta4_pH[10,3]	0.056	0.038	0.003	0.050	0.146
beta4_pH[11,3]	0.637	0.233	0.297	0.600	1.222
beta4_pH[12,3]	0.692	0.219	0.362	0.658	1.219
beta4_pH[13,3]	0.706	0.177	0.426	0.682	1.115
beta4_pH[14,3]	0.870	0.220	0.520	0.842	1.374
beta4_pH[15,3]	0.816	0.225	0.468	0.789	1.335
beta4_pH[16,3]	1.391	1.745	0.122	0.873	5.542
beta4_pH[1,4]	0.632	0.381	0.195	0.555	1.540
beta4_pH[2,4]	0.804	0.890	0.118	0.581	2.742
beta4_pH[3,4]	0.872	0.921	0.116	0.598	3.378
beta4_pH[4,4]	0.746	0.569	0.203	0.617	2.044
beta4_pH[5,4]	0.781	0.887	0.114	0.569	2.746
beta4_pH[6,4]	0.911	0.789	0.204	0.729	2.720
beta4_pH[7,4]	0.886	0.417	0.353	0.807	1.972
beta4_pH[8,4]	0.731	0.631	0.151	0.578	2.056
beta4_pH[9,4]	0.745	0.889	0.111	0.552	2.679
beta4_pH[10,4]	1.424	2.960	0.007	0.373	11.185
beta4_pH[11,4]	0.445	0.017	0.412	0.445	0.479
beta4_pH[12,4]	0.562	0.053	0.464	0.560	0.668
beta4_pH[13,4]	0.925	0.036	0.853	0.924	0.995
beta4_pH[14,4]	0.922	0.074	0.782	0.919	1.072
beta4_pH[15,4]	0.715	0.020	0.676	0.715	0.754
beta4_pH[16,4]	0.686	0.042	0.607	0.684	0.773
beta4_pH[1,5]	0.625	0.368	0.199	0.542	1.516
beta4_pH[2,5]	0.766	0.729	0.106	0.564	2.742
beta4_pH[3,5]	0.845	0.877	0.120	0.604	3.153
beta4_pH[4,5]	0.725	0.481	0.197	0.617	1.912
beta4_pH[5,5]	0.763	0.947	0.114	0.562	2.680
beta4_pH[6,5]	0.903	0.828	0.204	0.723	2.652
beta4_pH[7,5]	0.884	0.432	0.345	0.800	1.941
beta4_pH[8,5]	0.737	0.626	0.145	0.586	2.119
beta4_pH[9,5]	0.790	1.038	0.120	0.556	2.852
beta4_pH[10,5]	1.521	3.055	0.006	0.377	11.118
beta4_pH[11,5]	0.606	0.053	0.504	0.606	0.715
beta4_pH[12,5]	0.617	0.170	0.332	0.601	0.990
beta4_pH[13,5]	0.772	0.061	0.664	0.769	0.899
beta4_pH[14,5]	0.847	0.123	0.629	0.841	1.104
beta4_pH[15,5]	1.142	0.075	1.000	1.141	1.299
beta4_pH[16,5]	18.829	3.879	11.092	19.175	24.707
beta0_pelagic[1]	2.268	0.036	2.201	2.267	2.342
beta0_pelagic[2]	1.537	0.007	1.524	1.538	1.551
beta0_pelagic[3]	0.173	0.277	-0.545	0.239	0.557
beta0_pelagic[4]	0.241	0.197	-0.186	0.252	0.612
beta0_pelagic[5]	1.449	0.159	1.142	1.447	1.768
beta0_pelagic[6]	1.355	0.061	1.243	1.355	1.478
beta0_pelagic[7]	1.471	0.038	1.399	1.470	1.550
beta0_pelagic[8]	1.672	0.043	1.591	1.671	1.757
beta0_pelagic[9]	2.774	0.062	2.659	2.772	2.900
beta0_pelagic[10]	2.603	0.032	2.544	2.602	2.667
beta0_pelagic[11]	-0.140	0.169	-0.541	-0.127	0.149
beta0_pelagic[12]	1.800	0.035	1.734	1.799	1.870
beta0_pelagic[13]	-1.285	0.477	-1.965	-1.369	-0.286
beta0_pelagic[14]	-0.284	0.187	-0.706	-0.260	0.016
beta0_pelagic[15]	-0.209	0.035	-0.303	-0.195	-0.180
beta0_pelagic[16]	-0.496	0.405	-1.392	-0.401	0.068
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.782	0.311	0.318	0.722	1.643
beta1_pelagic[4]	0.804	0.221	0.387	0.797	1.258
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.148	0.239	0.736	1.126	1.701
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.356	0.771	1.806	3.286	4.838
beta1_pelagic[14]	1.771	0.432	1.110	1.690	2.816
beta1_pelagic[15]	0.082	0.150	0.000	0.012	0.577
beta1_pelagic[16]	1.658	0.633	0.759	1.510	2.970
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.125	5.970	0.180	4.507	21.249
beta2_pelagic[4]	7.492	5.272	0.548	6.607	20.718
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.858	1.537	0.290	1.405	5.849
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.149	0.061	0.075	0.136	0.303
beta2_pelagic[14]	0.871	0.856	0.202	0.600	3.578
beta2_pelagic[15]	2.543	1.898	0.151	2.149	7.185
beta2_pelagic[16]	0.759	1.012	0.113	0.347	4.096
beta3_pelagic[1]	28.783	3.907	22.362	28.861	35.182
beta3_pelagic[2]	28.685	3.876	22.331	28.727	35.112
beta3_pelagic[3]	27.799	2.715	23.164	28.055	32.191
beta3_pelagic[4]	26.173	1.281	23.446	26.300	28.782
beta3_pelagic[5]	29.508	6.569	18.665	29.268	40.383
beta3_pelagic[6]	29.486	6.630	18.549	29.603	40.390
beta3_pelagic[7]	29.614	6.572	18.694	29.623	40.410
beta3_pelagic[8]	29.503	6.741	18.445	29.486	40.503
beta3_pelagic[9]	29.338	6.609	18.575	29.213	40.356
beta3_pelagic[10]	29.544	6.568	18.494	29.543	40.282
beta3_pelagic[11]	30.087	1.226	27.832	30.047	32.705
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	31.161	4.556	23.961	30.760	40.677
beta3_pelagic[14]	34.144	1.613	31.408	34.059	37.819
beta3_pelagic[15]	33.869	5.704	23.547	34.470	41.703
beta3_pelagic[16]	31.336	2.812	26.280	31.189	37.932
beta0_yellow[1]	-0.483	0.080	-0.641	-0.483	-0.323
beta0_yellow[2]	0.545	0.080	0.379	0.551	0.682
beta0_yellow[3]	-0.205	0.127	-0.449	-0.209	0.013
beta0_yellow[4]	0.884	0.257	0.123	0.952	1.186
beta0_yellow[5]	0.236	0.325	-0.448	0.261	0.793
beta0_yellow[6]	0.818	0.107	0.602	0.816	1.026
beta0_yellow[7]	1.014	0.100	0.821	1.014	1.209
beta0_yellow[8]	1.017	0.094	0.832	1.017	1.201
beta0_yellow[9]	0.443	0.099	0.252	0.442	0.638
beta0_yellow[10]	0.540	0.072	0.401	0.539	0.686
beta0_yellow[11]	-0.200	0.127	-0.479	-0.188	0.014
beta0_yellow[12]	-1.086	0.095	-1.267	-1.084	-0.900
beta0_yellow[13]	-1.354	0.183	-1.778	-1.334	-1.059
beta0_yellow[14]	-0.251	0.157	-0.566	-0.234	-0.008
beta0_yellow[15]	-1.247	0.129	-1.546	-1.232	-1.030
beta0_yellow[16]	-0.253	0.092	-0.434	-0.254	-0.071
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.009	0.234	0.585	1.001	1.488
beta1_yellow[3]	0.461	0.247	0.017	0.475	0.924
beta1_yellow[4]	1.347	0.626	0.630	1.187	3.332
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.302	0.368	0.001	0.121	1.208
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.307	1.297	0.028	0.851	5.181
beta1_yellow[14]	0.730	1.040	0.013	0.428	4.334
beta1_yellow[15]	0.164	0.196	0.011	0.085	0.670
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.769	5.859	-21.918	-6.609	-0.470
beta2_yellow[3]	-7.640	5.864	-22.076	-6.264	-0.440
beta2_yellow[4]	-5.574	5.945	-21.034	-3.481	-0.116
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.701	5.868	-21.568	-6.364	-0.472
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.826	5.324	-18.951	-4.026	-0.288
beta2_yellow[14]	-7.215	5.604	-20.093	-5.943	-0.342
beta2_yellow[15]	-7.666	5.582	-20.574	-6.576	-0.356
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.849	1.157	27.263	28.672	31.752
beta3_yellow[3]	32.349	3.279	23.378	32.556	38.386
beta3_yellow[4]	29.930	3.260	24.015	28.894	35.689
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	34.926	3.680	30.333	33.852	43.292
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.323	2.797	29.196	33.367	39.911
beta3_yellow[14]	33.896	3.548	29.178	33.495	42.777
beta3_yellow[15]	36.372	3.745	30.323	36.177	43.444
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.012	0.077	-0.139	0.011	0.158
beta0_black[2]	1.855	0.031	1.792	1.855	1.916
beta0_black[3]	1.239	0.038	1.168	1.239	1.314
beta0_black[4]	2.426	0.048	2.333	2.427	2.520
beta0_black[5]	5.093	2.294	1.856	4.638	10.726
beta0_black[6]	5.265	2.206	2.635	4.689	11.054
beta0_black[7]	4.098	2.115	1.572	3.544	9.886
beta0_black[8]	0.897	0.220	0.505	0.887	1.347
beta0_black[9]	2.810	0.272	2.300	2.802	3.353
beta0_black[10]	1.287	0.050	1.193	1.287	1.384
beta0_black[11]	2.980	0.052	2.879	2.980	3.081
beta0_black[12]	4.909	0.192	4.534	4.907	5.290
beta0_black[13]	0.447	0.338	0.018	0.369	1.227
beta0_black[14]	2.855	0.106	2.645	2.857	3.059
beta0_black[15]	0.722	0.050	0.622	0.723	0.819
beta0_black[16]	3.771	0.072	3.630	3.771	3.915
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.574	1.775	-7.034	-2.147	-0.317
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.343	3.416	26.611	38.144	40.981
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.326	0.091	-0.501	-0.325	-0.149
beta4_black[2]	0.258	0.053	0.155	0.258	0.362
beta4_black[3]	-0.718	0.065	-0.846	-0.718	-0.593
beta4_black[4]	0.625	0.131	0.378	0.622	0.884
beta4_black[5]	0.818	1.823	-1.059	0.505	4.695
beta4_black[6]	0.864	1.651	-0.803	0.558	4.340
beta4_black[7]	0.814	1.561	-0.937	0.504	4.245
beta4_black[8]	0.078	0.290	-0.534	0.086	0.623
beta4_black[9]	1.024	0.812	-0.102	0.860	2.971
beta4_black[10]	0.073	0.065	-0.049	0.073	0.204
beta4_black[11]	-0.609	0.067	-0.738	-0.609	-0.477
beta4_black[12]	1.236	0.290	0.697	1.226	1.815
beta4_black[13]	-1.006	0.077	-1.158	-1.003	-0.862
beta4_black[14]	0.216	0.181	-0.142	0.216	0.577
beta4_black[15]	0.003	0.045	-0.084	0.003	0.091
beta4_black[16]	-0.417	0.115	-0.646	-0.417	-0.193
beta0_dsr[11]	-0.329	0.009	-0.347	-0.329	-0.310
beta0_dsr[12]	1.419	0.044	1.335	1.419	1.508
beta0_dsr[13]	0.155	0.021	0.112	0.154	0.194
beta0_dsr[14]	-0.126	0.017	-0.160	-0.127	-0.092
beta0_dsr[15]	0.205	0.014	0.177	0.205	0.233
beta0_dsr[16]	0.161	0.016	0.129	0.161	0.193
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.543	0.035	0.473	0.543	0.614
beta4_dsr[12]	0.799	0.226	0.374	0.796	1.279
beta4_dsr[13]	-0.078	0.040	-0.157	-0.078	0.000
beta4_dsr[14]	-0.209	0.072	-0.356	-0.209	-0.067
beta4_dsr[15]	0.217	0.022	0.172	0.217	0.260
beta4_dsr[16]	-0.052	0.047	-0.145	-0.053	0.039
beta0_slope[11]	-2.208	0.021	-2.250	-2.208	-2.168
beta0_slope[12]	-5.328	0.212	-5.750	-5.325	-4.916
beta0_slope[13]	-1.501	0.033	-1.565	-1.501	-1.437
beta0_slope[14]	-2.711	0.051	-2.816	-2.710	-2.614
beta0_slope[15]	-1.591	0.022	-1.634	-1.591	-1.550
beta0_slope[16]	-2.651	0.041	-2.727	-2.653	-2.567
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.336	0.075	-0.494	-0.335	-0.192
beta4_slope[12]	-4.680	0.803	-6.373	-4.636	-3.227
beta4_slope[13]	0.328	0.052	0.220	0.329	0.426
beta4_slope[14]	-0.158	0.153	-0.469	-0.154	0.129
beta4_slope[15]	-0.360	0.033	-0.427	-0.361	-0.295
beta4_slope[16]	-0.141	0.104	-0.346	-0.142	0.058
beta5_slope[11]	3.064	0.105	2.869	3.062	3.283
beta5_slope[12]	1.999	0.384	1.316	1.980	2.819
beta5_slope[13]	0.881	0.081	0.722	0.879	1.043
beta5_slope[14]	3.743	0.361	3.075	3.734	4.491
beta5_slope[15]	1.308	0.069	1.178	1.306	1.445
beta5_slope[16]	2.727	0.239	2.281	2.721	3.221
tau_comp[1]	3.776	0.288	3.230	3.766	4.368
tau_comp[2]	2.855	0.261	2.376	2.844	3.389
tau_comp[3]	0.867	0.075	0.729	0.864	1.022
tau_comp[4]	1.780	0.277	1.282	1.761	2.386
tau_comp[5]	1.307	0.194	0.967	1.294	1.733
sigma_H[1]	0.209	0.050	0.119	0.206	0.316
sigma_H[2]	0.175	0.029	0.128	0.172	0.239
sigma_H[3]	0.187	0.040	0.116	0.184	0.276
sigma_H[4]	0.462	0.079	0.330	0.453	0.640
sigma_H[5]	0.965	0.203	0.596	0.951	1.399
sigma_H[6]	0.537	0.193	0.156	0.533	0.913
sigma_H[7]	0.309	0.062	0.215	0.300	0.452
sigma_H[8]	0.419	0.088	0.268	0.410	0.615
sigma_H[9]	0.512	0.119	0.329	0.497	0.788
sigma_H[10]	0.210	0.039	0.143	0.207	0.296
sigma_H[11]	0.266	0.044	0.193	0.262	0.364
sigma_H[12]	0.387	0.147	0.201	0.343	0.714
sigma_H[13]	0.218	0.037	0.153	0.215	0.297
sigma_H[14]	0.497	0.088	0.341	0.491	0.685
sigma_H[15]	0.231	0.037	0.167	0.227	0.310
sigma_H[16]	0.215	0.041	0.149	0.210	0.312
lambda_H[1]	2.254	3.392	0.078	1.075	11.748
lambda_H[2]	5.254	5.161	0.526	3.695	20.043
lambda_H[3]	5.233	7.616	0.264	2.709	26.319
lambda_H[4]	0.006	0.004	0.001	0.005	0.018
lambda_H[5]	2.929	7.362	0.025	0.688	23.772
lambda_H[6]	6.216	12.810	0.008	0.316	42.593
lambda_H[7]	0.012	0.008	0.002	0.010	0.032
lambda_H[8]	7.961	10.390	0.078	4.305	34.897
lambda_H[9]	0.015	0.010	0.003	0.013	0.040
lambda_H[10]	0.231	0.304	0.026	0.158	0.833
lambda_H[11]	0.224	0.317	0.010	0.105	1.097
lambda_H[12]	3.887	5.407	0.163	2.142	18.994
lambda_H[13]	3.222	3.057	0.263	2.342	11.118
lambda_H[14]	3.348	4.047	0.221	2.149	13.411
lambda_H[15]	0.019	0.020	0.003	0.014	0.063
lambda_H[16]	0.503	0.778	0.033	0.267	2.288
mu_lambda_H[1]	4.025	1.886	1.076	3.811	8.149
mu_lambda_H[2]	3.719	1.933	0.567	3.586	7.790
mu_lambda_H[3]	3.403	1.842	0.703	3.134	7.684
sigma_lambda_H[1]	8.037	4.412	1.735	7.209	18.182
sigma_lambda_H[2]	8.267	4.737	0.883	7.683	18.099
sigma_lambda_H[3]	6.275	4.039	0.960	5.417	16.315
beta_H[1,1]	6.504	1.313	3.400	6.709	8.402
beta_H[2,1]	9.763	0.610	8.442	9.798	10.851
beta_H[3,1]	7.832	0.780	5.995	7.938	9.123
beta_H[4,1]	10.639	7.707	-4.591	10.623	26.439
beta_H[5,1]	-0.301	2.488	-5.716	-0.089	3.860
beta_H[6,1]	3.087	4.435	-7.738	4.697	8.375
beta_H[7,1]	1.365	5.511	-10.387	1.805	11.552
beta_H[8,1]	1.378	4.120	-2.623	1.232	3.652
beta_H[9,1]	13.668	5.772	2.340	13.617	25.583
beta_H[10,1]	6.807	1.859	2.845	6.894	10.336
beta_H[11,1]	4.849	3.552	-3.092	5.540	9.880
beta_H[12,1]	2.607	1.084	0.731	2.537	5.011
beta_H[13,1]	9.083	0.875	7.256	9.148	10.604
beta_H[14,1]	2.126	0.996	0.054	2.133	4.102
beta_H[15,1]	-7.069	3.325	-13.330	-7.102	-0.162
beta_H[16,1]	3.879	2.977	-0.849	3.408	10.874
beta_H[1,2]	7.783	0.273	7.212	7.786	8.300
beta_H[2,2]	9.882	0.164	9.577	9.877	10.211
beta_H[3,2]	8.803	0.201	8.408	8.802	9.203
beta_H[4,2]	3.020	1.441	0.259	2.981	5.895
beta_H[5,2]	1.775	0.987	-0.154	1.788	3.640
beta_H[6,2]	6.020	1.090	3.592	6.187	7.795
beta_H[7,2]	2.391	1.027	0.502	2.318	4.534
beta_H[8,2]	2.989	1.155	1.317	3.139	4.274
beta_H[9,2]	3.175	1.095	1.088	3.138	5.354
beta_H[10,2]	8.051	0.366	7.298	8.062	8.770
beta_H[11,2]	9.839	0.634	8.897	9.731	11.223
beta_H[12,2]	3.935	0.369	3.277	3.922	4.719
beta_H[13,2]	9.156	0.242	8.703	9.149	9.666
beta_H[14,2]	4.022	0.352	3.342	4.018	4.731
beta_H[15,2]	11.555	0.604	10.281	11.573	12.708
beta_H[16,2]	4.451	0.810	2.969	4.422	6.113
beta_H[1,3]	8.442	0.264	7.966	8.435	8.992
beta_H[2,3]	9.855	0.145	9.560	9.854	10.140
beta_H[3,3]	9.466	0.160	9.156	9.462	9.803
beta_H[4,3]	-2.169	0.865	-3.946	-2.138	-0.532
beta_H[5,3]	3.900	0.587	2.662	3.902	5.065
beta_H[6,3]	8.317	1.178	6.648	8.017	10.861
beta_H[7,3]	-2.561	0.624	-3.828	-2.545	-1.392
beta_H[8,3]	5.308	0.549	4.710	5.214	6.432
beta_H[9,3]	-2.732	0.713	-4.153	-2.710	-1.333
beta_H[10,3]	8.538	0.273	8.005	8.538	9.075
beta_H[11,3]	8.492	0.290	7.866	8.515	8.987
beta_H[12,3]	5.266	0.321	4.505	5.303	5.801
beta_H[13,3]	8.866	0.176	8.490	8.872	9.189
beta_H[14,3]	5.777	0.266	5.212	5.800	6.252
beta_H[15,3]	10.273	0.298	9.692	10.272	10.850
beta_H[16,3]	5.936	0.600	4.721	5.943	7.025
beta_H[1,4]	8.094	0.191	7.688	8.102	8.436
beta_H[2,4]	9.854	0.132	9.583	9.859	10.102
beta_H[3,4]	9.955	0.152	9.628	9.966	10.224
beta_H[4,4]	11.802	0.470	10.870	11.809	12.701
beta_H[5,4]	5.570	0.733	4.382	5.487	7.289
beta_H[6,4]	7.172	0.914	5.180	7.398	8.446
beta_H[7,4]	8.538	0.343	7.869	8.539	9.206
beta_H[8,4]	6.721	0.270	6.202	6.738	7.159
beta_H[9,4]	7.441	0.443	6.568	7.439	8.302
beta_H[10,4]	7.525	0.224	7.113	7.520	8.000
beta_H[11,4]	9.512	0.192	9.143	9.513	9.900
beta_H[12,4]	7.241	0.196	6.860	7.240	7.642
beta_H[13,4]	9.070	0.141	8.777	9.073	9.335
beta_H[14,4]	7.833	0.212	7.437	7.828	8.259
beta_H[15,4]	9.482	0.224	9.042	9.480	9.929
beta_H[16,4]	9.433	0.237	8.975	9.430	9.899
beta_H[1,5]	8.903	0.151	8.589	8.905	9.195
beta_H[2,5]	10.676	0.100	10.493	10.671	10.891
beta_H[3,5]	10.766	0.161	10.479	10.760	11.099
beta_H[4,5]	8.351	0.484	7.429	8.339	9.318
beta_H[5,5]	5.189	0.606	3.709	5.265	6.177
beta_H[6,5]	8.925	0.628	7.963	8.812	10.278
beta_H[7,5]	6.565	0.334	5.919	6.557	7.258
beta_H[8,5]	8.259	0.217	7.932	8.239	8.723
beta_H[9,5]	8.195	0.454	7.298	8.194	9.105
beta_H[10,5]	10.037	0.230	9.576	10.043	10.483
beta_H[11,5]	11.594	0.221	11.142	11.594	12.028
beta_H[12,5]	8.603	0.188	8.245	8.604	8.983
beta_H[13,5]	10.140	0.131	9.885	10.136	10.399
beta_H[14,5]	9.246	0.218	8.850	9.232	9.703
beta_H[15,5]	11.311	0.235	10.861	11.310	11.764
beta_H[16,5]	9.838	0.188	9.457	9.845	10.185
beta_H[1,6]	10.116	0.235	9.749	10.086	10.693
beta_H[2,6]	11.472	0.117	11.234	11.472	11.707
beta_H[3,6]	10.619	0.158	10.261	10.629	10.897
beta_H[4,6]	12.930	0.860	11.175	12.956	14.561
beta_H[5,6]	5.673	0.624	4.541	5.648	6.988
beta_H[6,6]	8.706	0.572	7.399	8.741	9.757
beta_H[7,6]	10.563	0.578	9.365	10.570	11.659
beta_H[8,6]	9.518	0.274	9.044	9.536	9.936
beta_H[9,6]	8.284	0.758	6.838	8.287	9.747
beta_H[10,6]	9.153	0.347	8.404	9.180	9.786
beta_H[11,6]	10.687	0.366	9.901	10.713	11.363
beta_H[12,6]	9.377	0.237	8.946	9.370	9.873
beta_H[13,6]	11.092	0.154	10.786	11.090	11.404
beta_H[14,6]	9.916	0.283	9.330	9.922	10.466
beta_H[15,6]	10.552	0.414	9.743	10.538	11.354
beta_H[16,6]	10.606	0.254	10.081	10.617	11.094
beta_H[1,7]	10.194	1.224	7.037	10.470	11.869
beta_H[2,7]	12.113	0.523	10.986	12.149	13.057
beta_H[3,7]	10.299	0.681	8.822	10.349	11.478
beta_H[4,7]	1.340	4.448	-7.221	1.234	10.295
beta_H[5,7]	5.858	2.051	1.749	5.878	10.100
beta_H[6,7]	7.101	3.189	-0.764	8.282	10.878
beta_H[7,7]	7.575	2.955	1.937	7.507	13.595
beta_H[8,7]	10.885	0.990	9.237	10.870	12.531
beta_H[9,7]	5.010	3.895	-2.732	5.150	12.677
beta_H[10,7]	10.008	1.624	7.153	9.836	13.721
beta_H[11,7]	11.400	1.816	8.095	11.214	15.363
beta_H[12,7]	9.795	0.979	7.629	9.867	11.511
beta_H[13,7]	11.726	0.702	10.102	11.780	12.912
beta_H[14,7]	10.653	0.925	8.736	10.696	12.345
beta_H[15,7]	13.978	2.189	9.755	14.026	18.237
beta_H[16,7]	12.807	1.369	10.461	12.693	15.754
beta0_H[1]	8.891	17.591	-26.689	8.896	44.445
beta0_H[2]	10.502	7.972	-5.421	10.517	25.952
beta0_H[3]	9.440	10.357	-11.963	9.629	30.120
beta0_H[4]	12.337	183.186	-348.316	12.262	373.611
beta0_H[5]	3.636	27.006	-54.516	4.405	56.307
beta0_H[6]	9.283	51.206	-102.918	7.969	121.501
beta0_H[7]	5.508	142.891	-290.794	4.494	290.885
beta0_H[8]	6.328	34.385	-19.249	6.355	32.966
beta0_H[9]	4.805	121.092	-230.356	3.090	253.128
beta0_H[10]	7.652	37.289	-73.394	8.284	82.453
beta0_H[11]	10.256	52.911	-98.632	9.977	122.540
beta0_H[12]	6.748	12.563	-17.128	6.849	30.952
beta0_H[13]	9.731	10.532	-9.761	9.660	30.742
beta0_H[14]	6.832	11.546	-15.605	6.926	30.000
beta0_H[15]	4.877	116.679	-244.180	7.245	236.494
beta0_H[16]	9.029	31.187	-51.965	8.566	71.765

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025